https://emilhvitfeldt.github.io/ggpage/

Creates Page Layout Visualizations in R 📄📄📄
https://emilhvitfeldt.github.io/ggpage/

data-visualization datavisualization dataviz ggplot2 r rstats

Last synced: about 2 months ago
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Creates Page Layout Visualizations in R 📄📄📄

• Host: GitHub
• URL: https://emilhvitfeldt.github.io/ggpage/
• Owner: EmilHvitfeldt
• License: other
• Created: 2017-08-27T17:55:37.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2019-06-13T23:50:00.000Z (over 5 years ago)
• Last Synced: 2024-11-06T15:49:31.477Z (about 2 months ago)
• Topics: data-visualization, datavisualization, dataviz, ggplot2, r, rstats
• Language: R
• Homepage: https://emilhvitfeldt.github.io/ggpage/
• Size: 16.5 MB
• Stars: 341
• Watchers: 15
• Forks: 12
• Open Issues: 4
• Metadata Files:
  • Readme: README.Rmd
  • License: LICENSE

Awesome Lists containing this project

README

        
---

output: github_document

---

```{r, echo = FALSE}

knitr::opts_chunk$set(

  collapse = TRUE,

  comment = "#>",

  fig.path = "man/figures/README-"

)

```

# ggpage 

[![Travis build status](https://travis-ci.org/EmilHvitfeldt/ggpage.svg?branch=master)](https://travis-ci.org/EmilHvitfeldt/ggpage)

[![AppVeyor build status](https://ci.appveyor.com/api/projects/status/github/EmilHvitfeldt/ggpage?branch=master&svg=true)](https://ci.appveyor.com/project/EmilHvitfeldt/ggpage)

[![Coverage status](https://codecov.io/gh/EmilHvitfeldt/ggpage/branch/master/graph/badge.svg)](https://codecov.io/github/EmilHvitfeldt/ggpage?branch=master)

[![CRAN status](https://www.r-pkg.org/badges/version/ggpage)](https://cran.r-project.org/package=ggpage)

**ggpage** is a package to create pagestyled visualizations of text based data. It uses ggplot2 and final returns are ggplot2 objects.

## Version 0.2.0

In this new version I have worked to include a lot of use cases that wasn't available in the first version. These new elements are previewed in the vignette.

## Installation

You can install the released version of **ggpage** from [CRAN](https://cran.r-project.org/) with:

```{r eval = FALSE}

install.packages("ggpage")

```

or you can install the developmental version of **ggpage** from github with:

```{r gh-installation, eval = FALSE}

# install.packages("devtools")

devtools::install_github("EmilHvitfeldt/ggpage")

```

## Example

The package includes The Tinder-box by H.C. Andersen for examples.

```{r message=FALSE}

library(tidyverse)

library(ggpage)

head(tinderbox, 10)

```

The basic workflow with **ggpage** is using either 

- `ggpage_quick` for a quick one function call plot or,

- combining `ggpage_build` and `ggpage_plot` to do analysis (NLP for example) before the final plot is produced.

For a simple demonstration we apply `ggpage_quick` to our `tinderbox` object. It is important that the data.frame that is used have the text in a column named "text".

```{r}

ggpage_quick(tinderbox)

# Also pipeable

# tinderbox %>% ggpage_quick()

```

The same result would be achieved by using

```{r eval=FALSE}

tinderbox %>% 

  ggpage_build() %>% 

  ggpage_plot()

```

But this approach allows us to introduce more code between `ggpage_build` and `ggpage_plot` giving us multiple more ways to enhance the plots

```{r}

tinderbox %>%

  ggpage_build() %>%

  mutate(long_word = stringr::str_length(word) > 8) %>%

  ggpage_plot(aes(fill = long_word)) +

  labs(title = "Longer words throughout The Tinder-box") +

  scale_fill_manual(values = c("grey70", "blue"),

                    labels = c("8 or less", "9 or more"),

                    name = "Word length")

```